AIMC Topic: Disease Outbreaks

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Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning.

Journal of medical Internet research Jun 6, 2023
BACKGROUND: Shortly after the worst of the COVID-19 pandemic, an outbreak of mpox introduced another critical public health emergency. Like the COVID-19 pandemic, the mpox outbreak was characterized by a rising prevalence of public health misinformat...
Disease Outbreaks Deep Learning Male Public Health Humans COVID-19 Social Media Pandemics Adult Mpox, Monkeypox Homosexuality, Male Health Communication Sexual and Gender Minorities
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Talk with ChatGPT About the Outbreak of Mpox in 2022: Reflections and Suggestions from AI Dimensions.

Annals of biomedical engineering Apr 8, 2023
In the era of big data, generative artificial intelligence (AI) models are currently in a boom. The Chatbot Generative Pre-trained Transformer (ChatGPT), a large language model (LLM) developed by OpenAI (San Francisco, CA), is a type of AI software t...
Humans Artificial Intelligence Mpox, Monkeypox Software Electric Power Supplies Disease Outbreaks
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TransCode: Uncovering COVID-19 transmission patterns via deep learning.

Infectious diseases of poverty Feb 28, 2023
BACKGROUND: The heterogeneity of COVID-19 spread dynamics is determined by complex spatiotemporal transmission patterns at a fine scale, especially in densely populated regions. In this study, we aim to discover such fine-scale transmission patterns ...
Disease Outbreaks Deep Learning Humans COVID-19 China Travel
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How Can AI Help Improve Food Safety?

Annual review of food science and technology Dec 21, 2022
With advances in artificial intelligence (AI) technologies, the development and implementation of digital food systems are becoming increasingly possible. There is tremendous interest in using different AI applications, such as machine learning model...
Artificial Intelligence Ecosystem Disease Outbreaks Food Safety
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A multistage multimodal deep learning model for disease severity assessment and early warnings of high-risk patients of COVID-19.

Frontiers in public health Nov 22, 2022
The outbreak of coronavirus disease 2019 (COVID-19) has caused massive infections and large death tolls worldwide. Despite many studies on the clinical characteristics and the treatment plans of COVID-19, they rarely conduct in-depth prognostic resea...
Patient Acuity Humans Disease Outbreaks Patients Deep Learning COVID-19
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A deep learning approach to real-time HIV outbreak detection using genetic data.

PLoS computational biology Oct 14, 2022
Pathogen genomic sequence data are increasingly made available for epidemiological monitoring. A main interest is to identify and assess the potential of infectious disease outbreaks. While popular methods to analyze sequence data often involve phylo...
Europe HIV-1 Deep Learning HIV Infections Disease Outbreaks Humans Phylogeny
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Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks.

Nature communications Jul 6, 2022
Widely applicable, accurate and fast inference methods in phylodynamics are needed to fully profit from the richness of genetic data in uncovering the dynamics of epidemics. Standard methods, including maximum-likelihood and Bayesian approaches, gene...
Humans Deep Learning Bayes Theorem Disease Outbreaks Computer Simulation Phylogeny Male
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Accurate virus identification with interpretable Raman signatures by machine learning.

Proceedings of the National Academy of Sciences of the United States of America Jun 2, 2022
Rapid identification of newly emerging or circulating viruses is an important first step toward managing the public health response to potential outbreaks. A portable virus capture device, coupled with label-free Raman spectroscopy, holds the promise...
Disease Outbreaks Serogroup Viruses Neural Networks, Computer Machine Learning Pandemics
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A Novel Approach on Deep Learning-Based Decision Support System Applying Multiple Output LSTM-Autoencoder: Focusing on Identifying Variations by PHSMs' Effect over COVID-19 Pandemic.

International journal of environmental research and public health Jun 1, 2022
Following the outbreak of the COVID-19 pandemic, the continued emergence of major variant viruses has caused enormous damage worldwide by generating social and economic ripple effects, and the importance of PHSMs (Public Health and Social Measures) i...
COVID-19 Deep Learning Disease Outbreaks Humans Pandemics
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COVID-19 Spatio-Temporal Evolution Using Deep Learning at a European Level.

Sensors (Basel, Switzerland) May 11, 2022
COVID-19 evolution imposes significant challenges for the European healthcare system. The heterogeneous spread of the pandemic within EU regions elicited a wide range of policies, such as school closure, transport restrictions, etc. However, the impl...
Disease Outbreaks Humans COVID-19 Pandemics Delivery of Health Care Deep Learning
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